package com.atguigu.gulimall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.atguigu.common.to.es.SkuEsModel;
import com.atguigu.common.utils.R;
import com.atguigu.gulimall.search.config.GulimallElasticSearchConfig;
import com.atguigu.gulimall.search.constant.EsConstant;
import com.atguigu.gulimall.search.feign.ProductFeignService;
import com.atguigu.gulimall.search.service.MallSearchService;
import com.atguigu.gulimall.search.vo.AttrResponseVo;
import com.atguigu.gulimall.search.vo.BrandVo;
import com.atguigu.gulimall.search.vo.SearchParam;
import com.atguigu.gulimall.search.vo.SearchResult;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * @author: Mr.Li
 * @since: 2020-11-17 15:11:07
 **/
@Service
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    RestHighLevelClient client;

    @Autowired
    ProductFeignService productFeignService;

    // 去es进行检索
    @Override
    public SearchResult search(SearchParam param) {
        // 动态构建出查询需要的DSL语句
        SearchResult searchResult = null;

        // 1、准备检索请求
        SearchRequest searchRequest = bindSearchRequest(param);

        try {
            // 2、执行检索请求
            SearchResponse response = client.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);

            // 3、分析响应数据封装成我们需要的数据
            searchResult = bindSearchRequest(response, param);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return searchResult;
    }

    /**
     * 准备检索请求
     * #模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存)，排序，分页，高亮，聚合分析
     *
     * @return
     */
    private SearchRequest bindSearchRequest(SearchParam param) {
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); // 构建DSL语句

        /**
         * 过滤（按照属性，分类，品牌，价格区间，库存)
         */
        // 1、构建了 bool - query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        // 1.1、 must - 模糊匹配
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }

        // 1.2、 bool - filter 按照三级分类id查询
        if (param.getCatalog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }

        // 1.2、 bool - filter 按照品牌id查询
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            boolQuery.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }

        // 1.2、bool - filter 按照所有指定的属性进行查询
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            for (String attrStr : param.getAttrs()) {
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();
                String[] s = attrStr.split("_");
                String attrId = s[0]; // 检索的属性Id
                String[] attrValues = s[1].split(":"); // 这个属性检索的值
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                // 每一个必须都得生成一个nested查询
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedboolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }

        }

        // 1.2、bool - filter 按照库存进行查询
        if (!StringUtils.isEmpty(param.getHasStock()))
            boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));

        // 1.2、bool - filter 按照价格区间进行查询
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            // 1_500 / _500 / 500_
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");

            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2) {
                // 区间
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(s[0]);
                }

                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }

        // 把以前的所有条件都拿来进行封装
        sourceBuilder.query(boolQuery);

        /**
         * 排序，分页，高亮
         */

        // 2.1、排序
        if (!StringUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(s[0], order);
        }

        // 2.2、分页
        sourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGESIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);

        // 2.3、高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder builder = new HighlightBuilder();

            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");

            sourceBuilder.highlighter(builder);
        }

        /**
         * 聚合分析
         */
        // 1、品牌聚合 brand_agg
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");

        brand_agg.field("brandId").size(50);

        // 品牌聚合的子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        // 1、聚合brand
        sourceBuilder.aggregation(brand_agg);

        // 2、分类聚合 catalog_agg
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg");
        catalog_agg.field("catalogId").size(20);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        // 2、聚合catalog
        sourceBuilder.aggregation(catalog_agg);

        // 3、属性聚合 attr_agg
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        // 聚合分析出当前所有的 attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        // 聚合分析出当前 attr_id 对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));

        // 聚合分析出当前 attr_id 对应的所有可能得属性值attrValue
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attr_agg.subAggregation(attr_id_agg);
        // 2、聚合attr
        sourceBuilder.aggregation(attr_agg);

        String s = sourceBuilder.toString();
        System.out.println("构建的DSL" + s);

        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
        return searchRequest;
    }

    /**
     * 构建结果数据
     *
     * @param response
     * @param param
     * @return
     */
    private SearchResult bindSearchRequest(SearchResponse response, SearchParam param) {

        SearchResult result = new SearchResult();
        // 1、返回查询到的所有商品
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel skuEsModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())) {
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String title = skuTitle.getFragments()[0].toString();
                    skuEsModel.setSkuTitle(title);
                }
                esModels.add(skuEsModel);
            }
        }
        result.setProduct(esModels);

        // 2、当前所有商品涉及到的所有属性信息
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            // 得到属性的Id
            long attrId = bucket.getKeyAsNumber().longValue();
            attrVo.setAttrId(attrId);

            // 得到属性的名字
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            attrVo.setAttrName(attrName);

            // 得到属性的所有值
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String attrValue = item.getKeyAsString();
                return attrValue;
            }).collect(Collectors.toList());


            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);

            result.getAttrIds().add(attrId);

            attrVo.setAttrValue(attrValues);
            attrVos.add(attrVo);

        }
        result.setAttrs(attrVos);

        // 3、当前所有商品涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            // 得到品牌的Id
            long brandId = bucket.getKeyAsNumber().longValue();
            brandVo.setBrandId(brandId);

            // 得到品牌的名字
            ParsedStringTerms brand_name_agg = bucket.getAggregations().get("brand_name_agg");
            String brandName = brand_name_agg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandName(brandName);
            // 得到品牌的图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandImg(brandImg);
            // 存入集合
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);

        // 4、当前所有商品涉及到的所有分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            // 得到分类的Id
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));

            // 得到分类名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            // 存入集合
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);
        //========= 以上从聚合信息中获取 =============


        // 5、分页信息 - 页码
        result.setPageNum(param.getPageNum());

        // 6、分页信息 - 总记录数

        long total = hits.getTotalHits().value;
        result.setTotal(total);

        // 6、分页信息 - 总页码 - 计算

        int totalPages = (int) total % EsConstant.PRODUCT_PAGESIZE == 0 ? (int) total / EsConstant.PRODUCT_PAGESIZE : ((int) total / EsConstant.PRODUCT_PAGESIZE + 1);

        System.out.println("totalPages = " + totalPages);
        result.setTotalPages(totalPages);

        List<Integer> pageNavs = new ArrayList<>();
        for (int i = 1; i <= totalPages; i++) {
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);

        // 构建面包屑导航功能
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            List<SearchResult.NavsVo> collect = param.getAttrs().stream().map(attr -> {
                SearchResult.NavsVo navVo = new SearchResult.NavsVo();
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                R r = productFeignService.attInfo(Long.parseLong(s[0]));
                result.getAttrIds().add(Long.parseLong(s[0]));
                if (r.getCode() == 0) {
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                } else {
                    navVo.setNavName(s[1]);
                }

                // 取消了这个面包屑以后，我们要跳转到那个地方，将求情地址的url里面的条件置空
                // 拿到所有的条件，去掉当前
                String replace = replaceQueryString(param, attr, "attrs");
                navVo.setLink("http://localhost:1200/list.html?" + replace);

                return navVo;
            }).collect(Collectors.toList());
            result.setNavs(collect);
        }

        // 品牌 ， 分类
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            List<SearchResult.NavsVo> navs = result.getNavs();
            SearchResult.NavsVo navVo = new SearchResult.NavsVo();
            navVo.setNavName("品牌");
            // 远程查询所有品牌
            R r = productFeignService.brandsInfo(param.getBrandId());
            if (r.getCode() == 0) {
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuffer buffer = new StringBuffer();
                String replace = "";
                for (BrandVo brandVo : brand) {
                    replace = replaceQueryString(param, brandVo.getBrandId() + "", "brandId");
                    buffer.append(brandVo.getName());
                }
                navVo.setNavValue(buffer.toString());
                navVo.setLink("http://localhost:1200/list.html?" + replace);
            }
            navs.add(navVo);
            result.setNavs(navs);
        }

        // 分类
//        if (param.getCatalog3Id() != null) {
//            List<SearchResult.NavsVo> navs = result.getNavs();
//            SearchResult.NavsVo navVo = new SearchResult.NavsVo();
//            navVo.setNavName("分类");
//        }


        return result;
    }

    private String replaceQueryString(SearchParam param, String value, String key) {
        String encode = null;
        try {
            encode = URLEncoder.encode(value, "UTF-8");
            encode = encode.replace("+", "%20");
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        return param.get_queryString().replace("&" + key + "=" + encode, "");
    }

}
